Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Automatic speaker verification (ASV) technology now reports a reasonable level of accuracy
in its applications in voice‐based biometric systems. However, it requires adequate amount …

The RSR2015 database, designed to evaluate text-dependent speaker verification systems
under different durations and lexical constraints has been collected and released by the …

We propose a new approach to the problem of estimating the hyperparameters which define
the interspeaker variability model in joint factor analysis. We tested the proposed estimation …

This paper investigates the effects of limited speech data in the context of speaker
verification using a probabilistic linear discriminant analysis (PLDA) approach. Being able to …

This paper proposes techniques to improve the performance of i-vector based speaker
verification systems when only short utterances are available. Short-length utterance i …

Short speech duration remains a critical factor of performance degradation when deploying
a speaker verification system. To overcome this difficulty, a large number of commercial …

The aim of this work is to gain insights into how the deep neural network (DNN) models
should be trained for short utterance evaluation conditions in an x-vector based speaker …

The importance of phonetic variability for short duration speaker verification is widely
acknowledged. This paper assesses the performance of Probabilistic Linear Discriminant …

Short utterance speaker recognition (SUSR) is highly challenging due to the limited
enrollment and/or test data. We argue that the difficulty can be largely attributed to the …